CN117574552B - Optimized integrated design method for wheels - Google Patents
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Abstract
An optimized integrated design method for wheels comprises the following steps: acquiring an initial wheel structure; according to the initial wheel structure, selecting a first integrated optimization strategy consisting of at least one method selected from a topological optimization method, a parameterized shape optimization method, a material structure integrated optimization method and the like, and performing a wheel optimization integrated conceptual design to obtain a wheel model with comprehensive weight and reliability evaluation meeting requirements; according to the weight and reliability comprehensive evaluation, a wheel model meeting the requirements is selected to select a second integrated optimization strategy consisting of at least one method selected from a free dimension optimization method, a free shape optimization method and the like, and the detailed design of the wheel optimization integration is carried out; according to the detailed design, carrying out grid-based rapid load and boundary condition loading, and carrying out DSAM verification on the wheel modeling; a final lightweight wheel structure is obtained. Therefore, the method can perform quick optimization, quick loading and re-analysis verification based on the wheel grid model, improves the design quality, shortens the wheel research and development design period and reduces the cost.
Description
Technical Field
The application relates to the technical field of optimal design of wheel structures, in particular to an optimal integrated design method for wheels.
Background
The current state of research and development design of the existing wheel has the following aspects:
1. along with the rising of new energy markets, shortening the development period and reducing the development cost become the main stream appeal of the current new energy host factories to reach the fast market-surfing preemption market, on the basis, the development period is gradually shortened for the wheels serving as parts, the average 3-day-to-one-edition of the traditional fuel oil vehicle is shortened to one-day-to-one-edition every 1 day, the increasingly-increased wheel weight and wheel performance requirements are difficult to meet by the traditional experience, the optimization means is needed to be intervened in daily development, however, the current optimization means is mostly in a manual stage, the different optimization methods are required to be provided with larger differences, the setting is complicated, the operation threshold is high, the efficiency is low, and the optimization means cannot be effectively intervened in the development of heavy difficult projects with the development period being shorter and shorter;
2. the traditional optimization adopts iterative modes of optimization, 3D modeling and re-analysis, so that the communication cost of an optimization engineer and a product engineer is huge, the interpretation capability of the product engineer on the optimization result is insufficient, and the increasingly-reduced development period cannot be satisfied;
3. the new energy vehicle is characterized in that the weight reduction of the whole vehicle is one of the keys for solving the problem of mileage anxiety improvement and endurance, the NVH performance improvement is a key way for improving the running texture of the vehicle in a domestic main engine factory, the whole vehicle preparation quality of the new energy vehicle is improved by about 20% -30% due to the existence of a battery pack, the wheel weight/load ratio is reduced by about 15%, the NVH target of the wheel is improved by about 40%, and the current requirement is difficult to be met by a single traditional optimization method;
4. The traditional optimization adopts single material optimization, and the material properties of all parts of the wheel, namely the spoke, the flange, the rim and the inner and outer rims of the wheel are different due to the production process of the wheel, and the single material is easy to cause overlarge structural redundancy or insufficient structural safety performance of part of the structure in the optimization process;
5. the wheel is of a typical circumferential symmetrical structure and a typical circular symmetrical structure, in a traditional optimization method, the circular symmetry can be solved, but the axial symmetry of the back cavity machine overhead line is difficult to solve, in the current optimization method, the circumferential symmetry is difficult to solve in free shape optimization, the axial symmetry can be solved in size optimization, but the arrangement is complicated, and the optimization target is a shell unit, and a large difference (about 30%) exists between the shell unit and a solid unit calculation structure.
Therefore, how to realize reasonable and rapid optimization and integrate and utilize the advantages of various optimization methods, the requirements of safety, reliability, manufacturability, light weight and the like are simultaneously considered in the process of designing the wheel, the structural redundancy or the structural safety deficiency is effectively solved, the wheel design meeting the requirements is rapidly obtained, the wheel design quality is improved, the wheel research and development design period is shortened, and the design cost is reduced, so that the problem to be solved is urgent.
Disclosure of Invention
The application provides an optimized integrated design method for wheels, which at least solves the technical problems in the prior art.
According to a first aspect of an embodiment of the present application, an initial wheel structure is obtained; according to the initial wheel structure, a first integrated optimization strategy consisting of at least one method selected from a topological optimization method, a parameterized shape optimization method, a material structure integrated optimization method and the like is selected, and the wheel optimization integrated concept design is carried out to obtain a wheel model with comprehensive weight and reliability evaluation meeting requirements; according to the weight and reliability comprehensive evaluation, selecting a second integrated optimization strategy consisting of at least one method selected from a free dimension optimization method, a free shape optimization method and the like, and carrying out detailed design of wheel optimization integration; according to the detailed design of the wheel, carrying out grid-based rapid load and boundary condition loading, and carrying out DSAM verification on the wheel modeling; a final lightweight wheel structure is obtained.
In one embodiment, the initial wheel structure is a finite element model for basic performance analysis. The performance analysis is selected from at least any one of the following: dynamic rigidity analysis; radial fatigue analysis; bending fatigue analysis; 13 degree impact analysis; performing modal analysis; reliability analysis; and (5) analyzing the intensity.
In one embodiment, according to the initial wheel structure, a first integrated optimization strategy consisting of at least one method selected from a topology optimization method, a parameterized shape optimization method, a material structure integration optimization method and the like is selected, and the wheel optimization integration conceptual design is performed to obtain a wheel model with comprehensive weight and reliability evaluation meeting requirements. The basis or principle of the selection method includes, but is not limited to, the following:
the method comprises the steps of carrying out lightweight design on wheels, and selecting a topology optimization method;
based on the body grid, adopting forward design for the wheels to finish a process from nothing to nothing, and selecting a topology optimization method;
the local performance of the wheel is improved, the radial direction of the wheel body model is kept the same, the circumferential direction is consistent, and a parameterized shape optimization method is selected;
carrying out wheel modification, designing a new wheel based on the existing wheel, and selecting a material structure integrated optimization method;
in one embodiment, according to the weight and reliability comprehensive evaluation, a second integrated optimization strategy consisting of at least one method selected from the group consisting of a free dimension optimization method, a free shape optimization method and the like is selected to perform the detailed design of the wheel optimization integration. The basis or principle of the selection method includes, but is not limited to, the following:
The surface performance of the wheel is improved based on the shell grid, and a free size optimization method is selected;
the surface performance of the wheel is improved based on the body grid, and a free shape optimization method is selected.
In one embodiment, the first and second integrated optimization strategies are selected from at least one of the following:
after the initial configuration of the wheel is obtained through topology optimization, the local performance of the wheel is improved through parameterized shape optimization, and the finite element mesh model of the initial configuration of the wheel is directly used for parameterized shape optimization;
after the initial configuration of the wheel is obtained through topology optimization, the material structure integrated optimization is used for improving the local performance of the wheel, and the finite element grid model of the initial configuration of the wheel is directly used for the material structure integrated optimization;
after the initial configuration of the wheel is obtained through topology optimization, the local performance of the wheel is improved through free dimension optimization, and the finite element grid model of the initial configuration of the wheel is directly used for the free dimension optimization;
after the initial configuration of the wheel is obtained through topology optimization, the local performance of the wheel is improved through free shape optimization, and the finite element grid model of the initial configuration of the wheel is directly used for the free shape optimization;
after the parameterized shape optimization of the existing wheel structure is completed, the material structure integrated optimization is used for improving the local performance of the wheel based on the optimized wheel finite element model;
After the parameterized shape optimization of the existing wheel structure is completed, the local performance of the wheel is improved by using free dimension optimization based on the optimized wheel finite element model;
after the parameterized shape optimization of the existing wheel structure is completed, the local performance of the wheel is improved by using free shape optimization based on the optimized wheel finite element model;
after the existing wheel structure completes the integrated optimization of the material structure, the local performance of the wheel is improved by using parameterized shape optimization based on the optimized wheel finite element model;
after the existing wheel structure completes the integrated optimization of the material structure, extracting the cladding grid of the outer surface of the wheel based on the optimized wheel finite element model, and improving the local performance of the wheel by using the free dimension optimization;
after the existing wheel structure completes the integrated optimization of the material structure, the local performance of the wheel is improved by using free shape optimization based on the optimized wheel finite element model;
in one embodiment, the method of topologically optimizing the initial wheel structure comprises the steps of:
based on the initial wheel structure, a topology optimization design space is set, and a settable region is selected from at least any one of the following: spoke envelope space; the spoke back cavity weight reduction nest space and the outer surface of the envelope thereof;
Setting a topologically optimized response according to the performance analysis result of the finite element model of the initial wheel structure, wherein the response is selected from at least any one of the following: combined compliance performance, volume fraction, weight, stress, frequency, etc.;
and setting constraint conditions of topological optimization according to the volume fraction response, respectively setting different volume fraction constraints, and submitting a plurality of optimization calculations.
Process constraints of the topologically optimized design space may be defined, selected from at least any one of: minimum rib size, symmetry (cyclic symmetry, and planar symmetry), etc.
Setting a topologically optimised objective function according to the defined response, selected from at least any one of the following: combined compliance coefficient, weight, frequency, etc.
Based on the topological optimization design space, the constraint condition and the objective function, a topological optimization algorithm is selected, and a topological optimization calculation is submitted to obtain a topological optimization result. Wherein the optional topology optimization algorithm is selected from any one of the following: a control-based topology optimization algorithm, a sensitivity-based topology optimization algorithm, a moving asymptote method and the like;
implementing a geometric fairing technology on the topological optimization result to derive a material distribution topological structure under a given threshold;
Carrying out CAD modeling on the wheel based on the topological structure, and dividing a body grid to obtain a wheel finite element grid model after primary topological optimization;
applying a performance analysis boundary and load based on the wheel finite element grid model subjected to the primary topological optimization to obtain a wheel performance verification analysis finite element model;
and submitting performance analysis and calculation based on the finite element model for wheel performance verification analysis, comprehensively evaluating the wheel quality, reliability performance and the like.
If the weight and reliability comprehensive evaluation result of the finite element mesh model of the wheel does not meet the design requirement, continuing to perform secondary topology optimization, wherein the method comprises the following steps of: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or objective functions, combining the topological optimization design space, selecting a topological optimization algorithm, and submitting secondary topological optimization calculation to obtain a secondary topological optimization result. Wherein the optional topology optimization algorithm is selected from any one of the following: a control-based topology optimization algorithm, a sensitivity-based topology optimization algorithm, a moving asymptote method and the like; repeating topology optimization calculation and result comprehensive evaluation according to the secondary topology optimization result until an updated wheel configuration cannot be obtained;
And if the weight and reliability comprehensive evaluation result of the finite element mesh model of the wheel meets the design requirement, finishing topology optimization.
In one embodiment, the method of parameterized shape optimization of an initial wheel structure comprises the steps of:
defining a parameterized shape variable according to a finite element model of the initial wheel structure, the range of involvement including at least any one of other outer surface nodes of the wheel than the A-plane and spoke back cavity weight reduction nest surface nodes,
setting a response of parameterized shape optimization according to the performance analysis results of the finite element model, wherein the response is selected from at least any one of the following: combined compliance performance, volume fraction, weight, stress, strain, frequency;
setting constraints of parameterized shape optimization according to the responses, wherein the constraints are selected from at least any one of the following: stress, strain, weight, frequency;
setting an objective function of parameterized shape optimization based on the response, the objective function selected from at least any one of: stress, strain, weight, frequency;
based on the parameterized shape optimization design space, constraint conditions and an objective function, a parameterized shape optimization algorithm is selected, and is submitted to primary parameterized shape optimization calculation to obtain primary parameterized shape optimization results, wherein the parameterized shape optimization algorithm is selected from any one of the following: a gradient-based optimization algorithm, a genetic algorithm, a sequence quadratic programming algorithm, a simulated annealing algorithm and a differential evolution algorithm;
Based on the wheel finite element grid model subjected to primary parameterization shape optimization, directly applying a performance analysis boundary and load to obtain a wheel performance verification analysis finite element model;
based on the finite element model for verifying and analyzing the wheel performance, submitting performance analysis and calculation, comprehensively evaluating the weight and reliability performance of the wheel,
if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model does not meet the design requirement, continuing to perform secondary parameterized shape optimization, wherein the secondary parameterized shape optimization comprises the following steps of: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or the objective function, a parameterized shape optimization algorithm is selected in combination with the parameterized shape variables, and a secondary parameterized shape optimization calculation is submitted to obtain a secondary parameterized shape optimization result, wherein the parameterized shape optimization algorithm is selected from any one of the following: a gradient-based optimization algorithm, a genetic algorithm, a sequence quadratic programming algorithm, a simulated annealing algorithm and a differential evolution algorithm; repeating parameterized shape optimization calculation and result evaluation according to the secondary parameterized shape optimization result until no space for continuing optimization exists,
And if the comprehensive evaluation result of the weight and the reliability of the wheel performance verification analysis finite element model meets the design requirement, completing parameterized shape optimization.
In one embodiment, the material structure integration optimization is performed on the initial wheel structure, and the material structure integration optimization method comprises the following steps:
setting a material structure integrated optimization design space according to the finite element model of the initial wheel structure, wherein the material structure integrated optimization design space comprises at least any one of the axial section shape of the wheel, the sectional length of the axial section of the wheel and the sectional materials of each axial section of the wheel,
setting a response of material structure integration optimization according to the performance analysis result of the finite element model, wherein the response is selected from at least any one of the following: weight, stress, strain, frequency;
setting a constraint condition of material structure integration optimization according to the response, wherein the constraint condition is at least any one of the following: stress, strain, weight, frequency;
setting an objective function of the material structure integration optimization according to the response, wherein the objective function is selected from at least any one of the following: stress, strain, weight, frequency;
Based on the material structure integrated optimization design space, constraint conditions and objective functions, a material structure integrated optimization algorithm is selected, and a primary material structure integrated optimization calculation is submitted to obtain a primary material structure integrated optimization result, wherein the material structure integrated optimization algorithm is selected from any one of the following: a gradient-based optimization algorithm, a genetic algorithm, a sequence quadratic programming algorithm, a simulated annealing algorithm and a differential evolution algorithm;
based on the material structure integrated optimization result, directly applying a performance analysis boundary and load to obtain a finite element model for verifying and analyzing the wheel performance;
based on the finite element model for verifying and analyzing the wheel performance, submitting performance analysis and calculation, comprehensively evaluating the weight and reliability performance of the wheel,
if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model does not meet the design requirement, continuing to integrate a secondary material structure, wherein the secondary material structure integration comprises the following steps: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or objective functions, combining the material structure integrated optimization design space, selecting a material structure integrated optimization algorithm, submitting a secondary material structure integrated optimization calculation to obtain a secondary material structure integrated optimization result, wherein the material structure integrated algorithm is selected from any one of the following: a gradient-based optimization algorithm, a genetic algorithm, a sequence quadratic programming algorithm, a simulated annealing algorithm and a differential evolution algorithm; repeating the material structure integrated optimization according to the secondary material structure integrated optimization result until no space for continuous optimization exists,
And if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model meets the design requirement, finishing the integrated optimization of the material structure.
In one embodiment, the free dimension optimization of the initial wheel structure comprises the steps of:
according to the finite element model of the initial wheel structure, a shell grid generating method is adopted to generate a layer grid on the outer surface of the finite element model, and the thickness of the layer grid is set to be deviated to one side;
setting a free dimension optimization design space based on the generated surface grids, wherein the free dimension optimization design space comprises at least any one of a surface grid of the front surface of the wheel, a surface grid of a back cavity of the wheel and a surface grid of a rim;
setting a response of the free dimension optimization according to the performance analysis result of the finite element model, wherein the response is selected from at least any one of the following: weight, stress, strain, frequency;
setting a constraint of free dimension optimization according to the response, wherein the constraint is selected from at least any one of the following: weight, stress, strain, frequency;
setting a free-size-optimized objective function based on the response, the objective function selected from at least any one of: weight, stress, strain, frequency;
Based on the free dimension optimization design space, constraint conditions and an objective function, a free dimension optimization algorithm is selected, and one free dimension optimization calculation is submitted to obtain one free dimension optimization result;
based on the free dimension optimization result, directly applying a performance analysis boundary and load to obtain a finite element model for wheel performance verification analysis;
based on the finite element model for verifying and analyzing the wheel performance, submitting performance analysis and calculation, comprehensively evaluating the weight and reliability performance of the wheel,
if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model does not meet the design requirement, continuing to perform secondary free dimension optimization, wherein the secondary free dimension optimization comprises the following steps of: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or objective functions, combining the free dimension optimization design space, selecting a free dimension optimization algorithm, submitting a secondary free dimension optimization calculation, and obtaining a secondary free dimension optimization result; repeating the free dimension optimization according to the secondary free dimension optimization result until there is no space for continuing the optimization,
And if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model meets the design requirement, completing the free size optimization.
In one embodiment, the free-form optimization of the initial wheel structure comprises the steps of:
setting a free shape optimization design space according to the finite element model of the initial wheel structure, wherein the free shape optimization design space comprises at least any one of a grid on the front surface of the wheel, a grid in a back cavity of the wheel and a grid of a rim;
setting a response of free-form optimization according to the performance analysis result of the finite element model, wherein the response is selected from at least any one of the following: weight, stress, strain, frequency;
setting constraints of free-form optimization according to the responses, wherein the constraints are selected from at least any one of the following: weight, stress, strain, frequency;
setting a free-form optimized objective function based on the response, the objective function selected from at least any one of: weight, stress, strain, frequency;
based on the free shape optimization design space, constraint conditions and an objective function, a free shape optimization algorithm is selected, and one free shape optimization calculation is submitted to obtain one free shape optimization result, wherein the free shape optimization algorithm is selected from any one of the following: CLASSIC, VERTEXM;
Based on the free shape optimization result, directly applying a performance analysis boundary and load to obtain a finite element model for wheel performance verification analysis;
based on the finite element model for verifying and analyzing the wheel performance, submitting performance analysis and calculation, comprehensively evaluating the weight and reliability performance of the wheel,
if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model does not meet the design requirement, continuing to perform secondary free shape optimization, wherein the secondary free shape optimization comprises the following steps of: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or objective functions, combining the free shape optimization design space, selecting a free shape optimization algorithm, submitting a secondary free shape optimization calculation to obtain a secondary free shape optimization result, wherein the free size optimization algorithm is selected from any one of the following: CLASSIC, VERTEXM; repeating the free shape optimization according to the secondary free shape optimization result until there is no space for continuing the optimization,
and if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model meets the design requirement, completing the free shape optimization.
In one embodiment, based on the obtained wheel detailed design, grid-based rapid loading and boundary condition loading are performed, and wheel styling DSAM verification is performed.
In one embodiment, the obtained wheel structure which passes the verification of the wheel modeling DSAM is the wheel structure which is light in weight and meets the performance requirement finally.
It should be understood that the description of this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.
Drawings
The above, as well as additional purposes, features, and advantages of exemplary embodiments of the present application will become readily apparent from the following detailed description when read in conjunction with the accompanying drawings. Several embodiments of the present application are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings, in which:
in the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.
FIG. 1 shows a schematic implementation flow diagram of a wheel-oriented optimization integrated design method according to an embodiment of the present application;
fig. 2 shows a functional block diagram of a wheel-oriented optimal integrated design method as a first embodiment of the present application.
Detailed Description
In order to make the objects, features and advantages of the present application more obvious and understandable, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Fig. 1 shows a schematic implementation flow chart of a wheel-oriented optimization integrated design method according to an embodiment of the present application.
According to a first aspect of an embodiment of the present application, there is provided a wheel-oriented optimal integrated design method, including: step 101, obtaining an initial wheel structure; 102, selecting a first integrated optimization strategy consisting of at least one method selected from a topology optimization method, a parameterized shape optimization method, a material structure integrated optimization method and the like according to the initial wheel structure, and performing a wheel optimization integrated concept design to obtain a wheel model with comprehensive weight and reliability evaluation meeting requirements; step 103, selecting a second integrated optimization strategy consisting of at least one of a free dimension optimization method, a free shape optimization method and the like according to the weight and reliability comprehensive evaluation of the wheel model meeting the requirements, and carrying out detailed design of the wheel; step 104, according to the detailed design of the wheel, carrying out grid-based rapid load and boundary condition loading, and carrying out DSAM verification of the wheel modeling; step 105, obtaining the final lightweight wheel structure.
According to the optimization integrated design method for the wheels, the topology optimization, the parameterized shape optimization, the material structure integration optimization, the free size optimization, the free shape optimization and the like are integrated or independently used in the wheel research and development design process, the requirements of safety, reliability, manufacturability, light weight and the like are simultaneously considered in the wheel design process, the rapid optimization, rapid loading and re-analysis verification are carried out based on a wheel grid model, the step of modifying the 3D model according to an optimization result in the traditional process is omitted, and the optimization iteration period is shortened by adopting an optimization and re-analysis iteration mode based on grids; the parameterized shape optimization method can be used for quickly performing circumferential change setting on the back cavity solid grid, so that the problem that the traditional free shape optimization cannot be performed at the same radial position and the circumferential direction is consistent is solved; the application of the material structure integrated optimization method optimizes different material properties given to different parts instead of a single material property, and solves the problems that the wheels have structural redundancy at certain parts and the structural safety at certain parts is insufficient. Through the integrated use of a plurality of optimization algorithms, the wheel design meeting the requirements is quickly obtained, the wheel design quality is improved, the wheel research and development design period is shortened, and the design cost is reduced.
Specifically, in step 101 of the method, the initial wheel structure obtained is a finite element model for basic performance analysis. The performance analysis is selected from at least any one of the following: dynamic rigidity analysis; radial fatigue analysis; bending fatigue analysis; 13 degree impact analysis; performing modal analysis; reliability analysis; and (5) analyzing the intensity.
In one embodiment, in step 102, the first integrated optimization strategy is formulated according to or based on at least any one of the following:
the method comprises the steps of carrying out lightweight design on wheels, and selecting a topology optimization method;
based on the body grid, adopting forward design for the wheels to finish a process from nothing to nothing, and selecting a topology optimization method;
the local performance of the wheel is improved, the radial direction of the wheel body model is kept the same, the circumferential direction is consistent, and a parameterized shape optimization method is selected;
carrying out wheel modification, designing a new wheel based on the existing wheel, and selecting a material structure integrated optimization method;
in one embodiment, in step 103, the second integrated optimization strategy is formulated according to or based on at least any one of the following:
the surface performance of the wheel is improved based on the shell grid, and a free size optimization method is selected;
The surface performance of the wheel is improved based on the body grid, and a free shape optimization method is selected;
the optimization methods can be used independently or in combination;
when a plurality of optimization methods are used in combination, the methods are selected according to actual needs, and the sequence is not limited.
In one embodiment, in step 102 and step 103, the first and second integrated optimization strategies are selected from at least one of the following:
after the initial configuration of the wheel is obtained through topology optimization, the local performance of the wheel is improved through parameterized shape optimization, and the finite element mesh model of the initial configuration of the wheel is directly used for parameterized shape optimization;
after the initial configuration of the wheel is obtained through topology optimization, the material structure integrated optimization is used for improving the local performance of the wheel, and the finite element grid model of the initial configuration of the wheel is directly used for the material structure integrated optimization;
after the initial configuration of the wheel is obtained through topology optimization, the local performance of the wheel is improved through free dimension optimization, and the finite element grid model of the initial configuration of the wheel is directly used for the free dimension optimization;
after the initial configuration of the wheel is obtained through topology optimization, the local performance of the wheel is improved through free shape optimization, and the finite element grid model of the initial configuration of the wheel is directly used for the free shape optimization;
After the parameterized shape optimization of the existing wheel structure is completed, the material structure integrated optimization is used for improving the local performance of the wheel based on the optimized wheel finite element model;
after the parameterized shape optimization of the existing wheel structure is completed, the local performance of the wheel is improved by using free dimension optimization based on the optimized wheel finite element model;
after the parameterized shape optimization of the existing wheel structure is completed, the local performance of the wheel is improved by using free shape optimization based on the optimized wheel finite element model;
after the existing wheel structure completes the integrated optimization of the material structure, the local performance of the wheel is improved by using parameterized shape optimization based on the optimized wheel finite element model;
after the existing wheel structure completes the integrated optimization of the material structure, extracting the cladding grid of the outer surface of the wheel based on the optimized wheel finite element model, and improving the local performance of the wheel by using the free dimension optimization;
after the existing wheel structure completes the integrated optimization of the material structure, the local performance of the wheel is improved by using free shape optimization based on the optimized wheel finite element model;
in one embodiment, in step 102, the method of topologically optimizing the initial wheel structure comprises the steps of:
Based on the initial wheel structure, a topology optimization design space is set, and a settable region is selected from at least any one of the following: spoke envelope space; the spoke back cavity weight reduction nest space and the outer surface of the envelope thereof;
setting a topologically optimized response according to the performance analysis result of the finite element model of the initial wheel structure, wherein the response is selected from at least any one of the following: combined compliance performance, volume fraction, weight, frequency, etc.;
and setting constraint conditions of topological optimization according to the volume fraction response, respectively setting different volume fraction constraints, and submitting a plurality of optimization calculations.
Process constraints of the topologically optimized design space may be defined, the process constraints being selected from at least any one of: minimum rib size, symmetry (cyclic symmetry, and planar symmetry), etc.
Setting a topologically optimised objective function according to the defined response, the objective function being selected from at least any one of: combined compliance coefficient, weight, frequency, etc.
Based on the topological optimization design space, the constraint condition and the objective function, a topological optimization algorithm is selected, and a topological optimization calculation is submitted to obtain a topological optimization result. Wherein the optional topology optimization algorithm is selected from at least any one of the following: a control-based topology optimization algorithm, a sensitivity-based topology optimization algorithm, a moving asymptote method and the like;
Implementing a geometric fairing technology on the topological optimization result to derive a material distribution topological structure under a given threshold;
carrying out CAD modeling on the wheel based on the topological structure, and dividing a body grid to obtain a wheel finite element grid model after primary topological optimization;
applying a performance analysis boundary and load based on the wheel finite element grid model subjected to the primary topological optimization to obtain a wheel performance verification analysis finite element model;
and submitting performance analysis and calculation based on the finite element model for wheel performance verification analysis, comprehensively evaluating the wheel quality, reliability performance and the like.
If the weight and reliability comprehensive evaluation result of the finite element mesh model of the wheel does not meet the design requirement, continuing to perform secondary topology optimization, wherein the method comprises the following steps of: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or objective functions, combining the topological optimization design space, selecting a topological optimization algorithm, and submitting secondary topological optimization calculation to obtain a secondary topological optimization result. Wherein the optional topology optimization algorithm is selected from any one of the following: a control-based topology optimization algorithm, a sensitivity-based topology optimization algorithm, a moving asymptote method and the like; repeating topology optimization calculation and result comprehensive evaluation according to the secondary topology optimization result until an updated wheel configuration cannot be obtained;
And if the weight and reliability comprehensive evaluation result of the finite element mesh model of the wheel meets the design requirement, finishing topology optimization.
In one embodiment, in step 102, the symmetry of the topology optimization process constraint includes cyclic symmetry, as well as cyclic symmetry and planar symmetry.
In one embodiment, in step 102, the parameterized shape optimization method includes the steps of:
defining a parameterized shape variable according to a finite element model of the initial wheel structure, the range of involvement including at least any one of other outer surface nodes of the wheel than the A-plane and spoke back cavity weight reduction nest surface nodes,
setting a response of parameterized shape optimization according to the performance analysis results of the finite element model, wherein the response is selected from at least any one of the following: combined compliance performance, volume fraction, weight, stress, strain, frequency;
setting constraints of parameterized shape optimization according to the responses, wherein the constraints are selected from at least any one of the following: stress, strain, weight, frequency;
setting an objective function of parameterized shape optimization based on the response, the objective function selected from at least any one of: stress, strain, weight, frequency;
Based on the parameterized shape optimization design space, constraint conditions and an objective function, a parameterized shape optimization algorithm is selected, and is submitted to primary parameterized shape optimization calculation to obtain primary parameterized shape optimization results, wherein the parameterized shape optimization algorithm is selected from any one of the following: a gradient-based optimization algorithm, a genetic algorithm, a sequence quadratic programming algorithm, a simulated annealing algorithm and a differential evolution algorithm;
based on the wheel finite element grid model subjected to primary parameterization shape optimization, directly applying a performance analysis boundary and load to obtain a wheel performance verification analysis finite element model;
based on the finite element model for verifying and analyzing the wheel performance, submitting performance analysis and calculation, comprehensively evaluating the weight and reliability performance of the wheel,
if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model does not meet the design requirement, continuing to perform secondary parameterized shape optimization, wherein the secondary parameterized shape optimization comprises the following steps of: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or the objective function, a parameterized shape optimization algorithm is selected in combination with the parameterized shape variables, and a secondary parameterized shape optimization calculation is submitted to obtain a secondary parameterized shape optimization result, wherein the parameterized shape optimization algorithm is selected from any one of the following: a gradient-based optimization algorithm, a genetic algorithm, a sequence quadratic programming algorithm, a simulated annealing algorithm and a differential evolution algorithm; repeating parameterized shape optimization calculation and result evaluation according to the secondary parameterized shape optimization result until no space for continuing optimization exists,
And if the comprehensive evaluation result of the weight and the reliability of the wheel performance verification analysis finite element model meets the design requirement, completing parameterized shape optimization.
In one embodiment, in step 102, the material structure integration optimization method includes the steps of:
setting a material structure integrated optimization design space according to the finite element model of the initial wheel structure, wherein the material structure integrated optimization design space comprises at least any one of the axial section shape of the wheel, the sectional length of the axial section of the wheel and the sectional materials of each axial section of the wheel,
setting a response of material structure integration optimization according to the performance analysis result of the finite element model, wherein the response is selected from at least any one of the following: weight, stress, strain, frequency;
setting a constraint condition of material structure integration optimization according to the response, wherein the constraint condition is at least any one of the following: stress, strain, weight, frequency;
setting an objective function of the material structure integration optimization according to the response, wherein the objective function is selected from at least any one of the following: stress, strain, weight, frequency;
Based on the material structure integrated optimization design space, constraint conditions and objective functions, a material structure integrated optimization algorithm is selected, and a primary material structure integrated optimization calculation is submitted to obtain a primary material structure integrated optimization result, wherein the material structure integrated optimization algorithm is selected from any one of the following: a gradient-based optimization algorithm, a genetic algorithm, a sequence quadratic programming algorithm, a simulated annealing algorithm and a differential evolution algorithm;
based on the material structure integrated optimization result, directly applying a performance analysis boundary and load to obtain a finite element model for verifying and analyzing the wheel performance;
based on the finite element model for verifying and analyzing the wheel performance, submitting performance analysis and calculation, comprehensively evaluating the weight and reliability performance of the wheel,
if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model does not meet the design requirement, continuing to integrate a secondary material structure, wherein the secondary material structure integration comprises the following steps: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or objective functions, combining the material structure integrated optimization design space, selecting a material structure integrated optimization algorithm, submitting a secondary material structure integrated optimization calculation to obtain a secondary material structure integrated optimization result, wherein the material structure integrated algorithm is selected from any one of the following: a gradient-based optimization algorithm, a genetic algorithm, a sequence quadratic programming algorithm, a simulated annealing algorithm and a differential evolution algorithm; repeating the material structure integrated optimization according to the secondary material structure integrated optimization result until no space for continuous optimization exists,
And if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model meets the design requirement, finishing the integrated optimization of the material structure.
In one embodiment, in step 103, the free dimension optimization method comprises the steps of:
according to the finite element model of the initial wheel structure, a shell grid generating method is adopted to generate a layer grid on the outer surface of the finite element model, and the thickness of the layer grid is set to be deviated to one side;
setting a free dimension optimization design space based on the generated surface grids, wherein the free dimension optimization design space comprises at least any one of a surface grid of the front surface of the wheel, a surface grid of a back cavity of the wheel and a surface grid of a rim;
setting a response of the free dimension optimization according to the performance analysis result of the finite element model, wherein the response is selected from at least any one of the following: weight, stress, strain, frequency;
setting a constraint of free dimension optimization according to the response, wherein the constraint is selected from at least any one of the following: weight, stress, strain, frequency;
setting a free-size-optimized objective function based on the response, the objective function selected from at least any one of: weight, stress, strain, frequency;
Based on the free dimension optimization design space, constraint conditions and an objective function, a free dimension optimization algorithm is selected, and one free dimension optimization calculation is submitted to obtain one free dimension optimization result;
based on the free dimension optimization result, directly applying a performance analysis boundary and load to obtain a finite element model for wheel performance verification analysis;
based on the finite element model for verifying and analyzing the wheel performance, submitting performance analysis and calculation, comprehensively evaluating the weight and reliability performance of the wheel,
if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model does not meet the design requirement, continuing to perform secondary free dimension optimization, wherein the secondary free dimension optimization comprises the following steps of: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or objective functions, combining the free dimension optimization design space, selecting a free dimension optimization algorithm, submitting a secondary free dimension optimization calculation, and obtaining a secondary free dimension optimization result; repeating the free dimension optimization according to the secondary free dimension optimization result until there is no space for continuing the optimization,
And if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model meets the design requirement, completing the free size optimization.
In one embodiment, in step 103, the free-form optimization method includes the steps of:
setting a free shape optimization design space according to the finite element model of the initial wheel structure, wherein the free shape optimization design space comprises at least any one of a grid on the front surface of the wheel, a grid in a back cavity of the wheel and a grid of a rim;
setting a response of free-form optimization according to the performance analysis result of the finite element model, wherein the response is selected from at least any one of the following: weight, stress, strain, frequency;
setting constraints of free-form optimization according to the responses, wherein the constraints are selected from at least any one of the following: weight, stress, strain, frequency;
setting a free-form optimized objective function based on the response, the objective function selected from at least any one of: weight, stress, strain, frequency;
based on the free shape optimization design space, constraint conditions and an objective function, a free shape optimization algorithm is selected, and one free shape optimization calculation is submitted to obtain one free shape optimization result, wherein the free shape optimization algorithm is selected from any one of the following: CLASSIC, VERTEXM;
Based on the free shape optimization result, directly applying a performance analysis boundary and load to obtain a finite element model for wheel performance verification analysis;
based on the finite element model for verifying and analyzing the wheel performance, submitting performance analysis and calculation, comprehensively evaluating the weight and reliability performance of the wheel,
if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model does not meet the design requirement, continuing to perform secondary free shape optimization, wherein the secondary free shape optimization comprises the following steps of: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or objective functions, combining the free shape optimization design space, selecting a free shape optimization algorithm, submitting a secondary free shape optimization calculation to obtain a secondary free shape optimization result, wherein the free size optimization algorithm is selected from any one of the following: CLASSIC, VERTEXM; repeating the free shape optimization according to the secondary free shape optimization result until there is no space for continuing the optimization,
and if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model meets the design requirement, completing the free shape optimization.
In one embodiment, in step 104, a wheel build DSAM verification is performed based on the obtained wheel detailed design.
In one embodiment, in step 105, the obtained wheel structure verified by the wheel model DSAM is based on the obtained wheel structure, that is, the wheel structure which is finally lightweight and meets the performance requirement.
To facilitate further understanding of the above embodiments, a specific application scenario is provided below for illustration.
Fig. 2 shows a functional block diagram of a wheel-oriented optimal integrated design method according to a first embodiment of the present application.
Referring to fig. 2, in this scenario, an optimal integrated design toolkit is provided on a server, the optimal integrated design toolkit including: an initial model analysis module 201, a topology optimization module 202, a parameterized shape optimization module 203, a material structure integration optimization module 204, a free size optimization module 205, a free shape optimization module 206 and an optimization integration interface 207;
the initial model analysis module 201 is configured to provide a user with a related function of uploading and analyzing an initial wheel model, so that the user can upload the initial wheel structure model, automatically analyze input grid files corresponding to different finite element solvers, analyze log view, and the like;
The topology optimization module 202 is configured to provide a user with a related user interface for topology optimization setting, where the user sets topology optimization problems, including selecting a topology optimization design space, setting constraint conditions, objective functions, submitting topology optimization calculation, setting and submitting geometric smoothing, checking calculation logs, and the like;
the shape optimization module 203 is configured to provide a user with a user interface related to parameterized shape optimization setting, where the user sets parameterized shape optimization problems, including creating parameterized shape parameters, selecting a parameterized shape optimization design space, setting constraint conditions, objective functions, submitting parameterized shape optimization calculations, checking calculation logs, and the like.
The material structure integrated optimization module 204 is configured to provide a user with a user interface related to material structure integrated optimization setting, where the user sets a material structure integrated optimization problem, including selecting a material structure integrated optimization design space, setting constraint conditions, objective functions, and submitting material structure integrated optimization calculation, checking a calculation log, and the like.
The free dimension optimization module 205 is configured to provide a user with a free dimension optimization setting related user interface, where the user sets a free dimension optimization problem, including selecting a free dimension optimization design space, setting constraint conditions, objective functions, and the like, submitting a free dimension optimization calculation, checking a calculation log, and the like.
The free shape optimizing module 205 is configured to provide a user with a free shape optimizing setting related user interface, where the user sets a free shape optimizing problem, including selecting a free shape optimizing design space, setting constraint conditions, objective functions, and the like, submitting a free shape optimizing calculation, viewing a calculation log, and the like.
The optimization integration interface 207 is used for managing and integrating interfaces of the topology optimization module 202, the shape optimization module 203, the material structure integration optimization module 204, the free size optimization module 205 and the free shape optimization module 206, so that various optimization types can be seamlessly integrated.
It should be appreciated that various forms of the flows shown above may be used, with steps added or deleted. The present invention is not limited herein as long as the desired results of the technical solutions of the present application can be achieved.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. The optimized integrated design method for the wheels is characterized by comprising the following steps of:
acquiring an initial wheel structure;
according to the initial wheel structure, a first integrated optimization strategy consisting of a topology optimization method, a parameterized shape optimization method and a material structure integrated optimization method, which are selected from at least two methods, is selected for carrying out the design of a wheel optimized integrated concept, and a wheel model meeting the requirements of comprehensive evaluation of weight and reliability is obtained;
according to the weight and reliability comprehensive evaluation, a wheel model meeting the requirements is selected, a second integrated optimization strategy consisting of at least one method selected from a free dimension optimization method and a free shape optimization method is selected, and the wheel optimization integrated design is carried out;
according to the optimized integrated design of the wheel, carrying out grid-based rapid load and boundary condition loading, and carrying out DSAM verification on the wheel modeling;
a final lightweight wheel structure is obtained which is,
the establishment basis or principle of the first integrated optimization strategy comprises the following steps:
the method comprises the steps of carrying out lightweight design on wheels, and selecting a topology optimization method;
based on the body grid, adopting forward design for the wheels to finish a process from nothing to nothing, and selecting a topology optimization method;
The local performance of the wheel is improved, the radial direction of the wheel body model is kept the same, the circumferential direction is consistent, and a parameterized shape optimization method is selected;
the modification of the wheel is carried out, a new wheel is designed based on the existing wheel, a material structure integrated optimization method is selected,
the establishment basis or principle of the second integrated optimization strategy comprises the following steps:
the surface performance of the wheel is improved based on the shell grid, and a free size optimization method is selected;
the surface performance of the wheel is improved based on the body grid, and a free shape optimization method is selected.
2. The wheel-oriented optimal integrated design method of claim 1, wherein the initial wheel structure is a finite element model for basic performance analysis.
3. The wheel-oriented optimal integrated design method of claim 2, wherein the performance analysis includes at least any one of dynamic stiffness analysis, radial fatigue analysis, bending fatigue analysis, 13 degree impact analysis, modal analysis, reliability analysis, and strength analysis.
4. The wheel-oriented optimization design method of claim 1, wherein each optimization method can be used alone or in combination.
5. The wheel-oriented optimization integrated design method of claim 1, wherein a topology optimization method is selected to perform topology optimization on an initial wheel structure, and the topology optimization method comprises the following steps:
Setting a topological optimization design space based on the initial wheel structure, wherein the topological optimization design space comprises at least any one of a spoke enveloping space, a spoke back cavity weight reduction nest space and an enveloping outer surface of the spoke back cavity weight reduction nest space;
setting a topologically optimized response according to the performance analysis result of the finite element model of the initial wheel structure, wherein the response is selected from at least any one of the following: combined compliance performance, volume fraction, weight, stress, frequency;
setting constraint conditions of topological optimization according to the volume fraction response, respectively setting different volume fraction constraints, submitting a plurality of optimization calculations,
defining a process constraint of the topologically optimized design space, the process constraint selected from at least any one of: the minimum size of the ribs is symmetrical and is also provided with a plurality of ribs,
setting a topologically optimized objective function according to the set response, the objective function being selected from at least any one of the following: combining the compliance coefficient, weight, frequency;
based on the topological optimization design space, the constraint condition and the objective function, a topological optimization algorithm is selected, and is submitted to one-time topological optimization calculation to obtain one-time topological optimization result, wherein the topological optimization algorithm is selected from any one of the following: a control-based topology optimization algorithm, a sensitivity-based topology optimization algorithm and a mobile asymptote method;
Implementing a geometric fairing technology on the topological optimization result to derive a material distribution topological structure under a given threshold;
carrying out CAD modeling on the wheel based on the topological structure, and dividing a body grid to obtain a wheel finite element grid model after primary topological optimization;
applying a performance analysis boundary and load based on the wheel finite element grid model subjected to the primary topological optimization to obtain a wheel performance verification analysis finite element model;
based on the finite element model for verifying and analyzing the wheel performance, submitting performance analysis and calculation, comprehensively evaluating the weight and reliability performance of the wheel,
if the weight and reliability comprehensive evaluation result of the wheel finite element grid model does not meet the design requirement, continuing to perform secondary topology optimization, wherein the secondary topology optimization comprises the following steps of: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or objective functions, combining the topological optimization design space, selecting a topological optimization algorithm, submitting secondary topological optimization calculation to obtain a secondary topological optimization result, wherein the topological optimization algorithm is selected from any one of the following: a control-based topology optimization algorithm, a sensitivity-based topology optimization algorithm and a mobile asymptote method; repeating topology optimization calculation and result comprehensive evaluation according to the secondary topology optimization result until the updated wheel configuration can not be obtained,
And if the weight and reliability comprehensive evaluation result of the finite element mesh model of the wheel meets the design requirement, finishing topology optimization.
6. The wheel-oriented optimal integrated design method of claim 5, wherein the symmetry in the process constraints includes cyclic symmetry, and cyclic symmetry and planar symmetry.
7. The optimized integrated design method for wheels according to claim 1, wherein a parameterized shape optimization method is selected to perform parameterized shape optimization on the initial wheel structure, and the parameterized shape optimization method includes the following steps:
defining a parameterized shape variable according to a finite element model of the initial wheel structure, the range of involvement including at least any one of other outer surface nodes of the wheel than the A-plane and spoke back cavity weight reduction nest surface nodes,
setting a response of parameterized shape optimization according to the performance analysis results of the finite element model, wherein the response is selected from at least any one of the following: combined compliance performance, volume fraction, weight, stress, strain, frequency;
setting constraints of parameterized shape optimization according to the responses, wherein the constraints are selected from at least any one of the following: stress, strain, weight, frequency;
Setting an objective function of parameterized shape optimization based on the response, the objective function selected from at least any one of: stress, strain, weight, frequency;
based on the parameterized shape optimization design space, constraint conditions and an objective function, a parameterized shape optimization algorithm is selected, and is submitted to primary parameterized shape optimization calculation to obtain primary parameterized shape optimization results, wherein the parameterized shape optimization algorithm is selected from any one of the following: a gradient-based optimization algorithm, a genetic algorithm, a sequence quadratic programming algorithm, a simulated annealing algorithm and a differential evolution algorithm;
based on the wheel finite element grid model subjected to primary parameterization shape optimization, directly applying a performance analysis boundary and load to obtain a wheel performance verification analysis finite element model;
based on the finite element model for verifying and analyzing the wheel performance, submitting performance analysis and calculation, comprehensively evaluating the weight and reliability performance of the wheel,
if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model does not meet the design requirement, continuing to perform secondary parameterized shape optimization, wherein the secondary parameterized shape optimization comprises the following steps of: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or the objective function, a parameterized shape optimization algorithm is selected in combination with the parameterized shape variables, and a secondary parameterized shape optimization calculation is submitted to obtain a secondary parameterized shape optimization result, wherein the parameterized shape optimization algorithm is selected from any one of the following: a gradient-based optimization algorithm, a genetic algorithm, a sequence quadratic programming algorithm, a simulated annealing algorithm and a differential evolution algorithm; repeating parameterized shape optimization calculation and result evaluation according to the secondary parameterized shape optimization result until no space for continuing optimization exists,
And if the comprehensive evaluation result of the weight and the reliability of the wheel performance verification analysis finite element model meets the design requirement, completing parameterized shape optimization.
8. The optimized integrated design method for a wheel according to claim 1, wherein a material structure integration optimization method is selected to perform material structure integration optimization on an initial wheel structure, and the material structure integration optimization method comprises the following steps:
setting a material structure integrated optimization design space according to the finite element model of the initial wheel structure, wherein the material structure integrated optimization design space comprises at least any one of the axial section shape of the wheel, the sectional length of the axial section of the wheel and the sectional materials of each axial section of the wheel,
setting a response of material structure integration optimization according to the performance analysis result of the finite element model, wherein the response is selected from at least any one of the following: weight, stress, strain, frequency;
setting a constraint condition of material structure integration optimization according to the response, wherein the constraint condition is at least any one of the following: stress, strain, weight, frequency;
setting an objective function of the material structure integration optimization according to the response, wherein the objective function is selected from at least any one of the following: stress, strain, weight, frequency;
Based on the material structure integrated optimization design space, constraint conditions and objective functions, a material structure integrated optimization algorithm is selected, and a primary material structure integrated optimization calculation is submitted to obtain a primary material structure integrated optimization result, wherein the material structure integrated optimization algorithm is selected from any one of the following: a gradient-based optimization algorithm, a genetic algorithm, a sequence quadratic programming algorithm, a simulated annealing algorithm and a differential evolution algorithm;
based on the material structure integrated optimization result, directly applying a performance analysis boundary and load to obtain a finite element model for verifying and analyzing the wheel performance;
based on the finite element model for verifying and analyzing the wheel performance, submitting performance analysis and calculation, comprehensively evaluating the weight and reliability performance of the wheel,
if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model does not meet the design requirement, continuing to integrate a secondary material structure, wherein the secondary material structure integration comprises the following steps: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or objective functions, combining the material structure integrated optimization design space, selecting a material structure integrated optimization algorithm, submitting a secondary material structure integrated optimization calculation to obtain a secondary material structure integrated optimization result, wherein the material structure integrated algorithm is selected from any one of the following: a gradient-based optimization algorithm, a genetic algorithm, a sequence quadratic programming algorithm, a simulated annealing algorithm and a differential evolution algorithm; repeating the material structure integrated optimization according to the secondary material structure integrated optimization result until no space for continuous optimization exists,
And if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model meets the design requirement, finishing the integrated optimization of the material structure.
9. The wheel-oriented optimal integrated design method according to claim 1, wherein the free-dimension optimization method comprises the steps of:
according to the finite element model of the initial wheel structure, a shell grid generating method is adopted to generate a layer grid on the outer surface of the finite element model, and the thickness of the layer grid is set to be deviated to one side;
setting a free dimension optimization design space based on the generated surface grids, wherein the free dimension optimization design space comprises at least any one of a surface grid of the front surface of the wheel, a surface grid of a back cavity of the wheel and a surface grid of a rim;
setting a response of the free dimension optimization according to the performance analysis result of the finite element model, wherein the response is selected from at least any one of the following: weight, stress, strain, frequency;
setting a constraint of free dimension optimization according to the response, wherein the constraint is selected from at least any one of the following: weight, stress, strain, frequency;
setting a free-size-optimized objective function based on the response, the objective function selected from at least any one of: weight, stress, strain, frequency;
Based on the free dimension optimization design space, constraint conditions and an objective function, a free dimension optimization algorithm is selected, and one free dimension optimization calculation is submitted to obtain one free dimension optimization result;
based on the free dimension optimization result, directly applying a performance analysis boundary and load to obtain a finite element model for wheel performance verification analysis;
based on the finite element model for verifying and analyzing the wheel performance, submitting performance analysis and calculation, comprehensively evaluating the weight and reliability performance of the wheel,
if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model does not meet the design requirement, continuing to perform secondary free dimension optimization, wherein the secondary free dimension optimization comprises the following steps of: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or objective functions, combining the free dimension optimization design space, selecting a free dimension optimization algorithm, submitting a secondary free dimension optimization calculation, and obtaining a secondary free dimension optimization result; repeating the free dimension optimization according to the secondary free dimension optimization result until there is no space for continuing the optimization,
And if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model meets the design requirement, completing the free size optimization.
10. The wheel-oriented optimal integrated design method according to claim 1, wherein the free-form optimization method comprises the steps of:
setting a free shape optimization design space according to the finite element model of the initial wheel structure, wherein the free shape optimization design space comprises at least any one of a grid on the front surface of the wheel, a grid in a back cavity of the wheel and a grid of a rim;
setting a response of free-form optimization according to the performance analysis result of the finite element model, wherein the response is selected from at least any one of the following: weight, stress, strain, frequency;
setting constraints of free-form optimization according to the responses, wherein the constraints are selected from at least any one of the following: weight, stress, strain, frequency;
setting a free-form optimized objective function based on the response, the objective function selected from at least any one of: weight, stress, strain, frequency;
based on the free shape optimization design space, constraint conditions and an objective function, a free shape optimization algorithm is selected, and one free shape optimization calculation is submitted to obtain one free shape optimization result, wherein the free shape optimization algorithm is selected from any one of the following: CLASSIC, VERTEXM;
Based on the free shape optimization result, directly applying a performance analysis boundary and load to obtain a finite element model for wheel performance verification analysis;
based on the finite element model for verifying and analyzing the wheel performance, submitting performance analysis and calculation, comprehensively evaluating the weight and reliability performance of the wheel,
if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model does not meet the design requirement, continuing to perform secondary free shape optimization, wherein the secondary free shape optimization comprises the following steps of: adjusting the constraint conditions and/or the objective function; based on the adjusted constraint conditions and/or objective functions, combining the free shape optimization design space, selecting a free shape optimization algorithm, submitting a secondary free shape optimization calculation to obtain a secondary free shape optimization result, wherein the free size optimization algorithm is selected from any one of the following: CLASSIC, VERTEXM; repeating the free shape optimization according to the secondary free shape optimization result until there is no space for continuing the optimization,
and if the weight and reliability comprehensive evaluation result of the wheel performance verification analysis finite element model meets the design requirement, completing the free shape optimization.
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